2026 International ACAC Conference Session Proposal Form

The rapid expansion of artificial intelligence and automation has reshaped global student aspirations and enrollment patterns, driving increased demand for software-centric and data-driven academic programs. This trend has often come at the expense of traditional foundational disciplines such as engineering, psychology, life sciences, and economics. However, emerging global labor-market data suggests a recalibration. Reports from the World Economic Forum and the World Bank indicate that nearly 40% of workforce skills are expected to change, increasing demand for professionals who can apply core disciplinary knowledge across industries and adapt to evolving technological contexts. We propose to examines the growing misalignment between higher education pathways and labor-market needs, arguing that sustainable employability lies not in AI-exclusive training but in an “AI + X” approach that integrates digital competencies with strong disciplinary foundations. Using core engineering fields—mechanical, electrical, civil, chemical, and manufacturing—as a primary case study, the paper draws comparative parallels with psychology, life sciences, and economics to illustrate how foundational disciplines continue to underpin emerging global sectors such as clean energy, healthcare technologies, mental-health services, smart infrastructure, and sustainable manufacturing.